| InputStream modelIn = new FileInputStream("en-ner-person.bin"); | |
| try { | |
| TokenNameFinder model = new TokenNameFinderModel(modelIn); | |
| } | |
| catch (IOException e) { | |
| e.printStackTrace(); | |
| } | |
| finally { | |
| if (modelIn != null) { | |
| try { | |
| modelIn.close(); | |
| } | |
| catch (IOException e) { | |
| } | |
| } | |
| } | |
| NameFinderME nameFinder = new NameFinderME(model); | |
| for (String document[][] : documents) { | |
| for (String[] sentence : document) { | |
| Span nameSpans[] = find(sentence); | |
| // do something with the names | |
| } | |
| nameFinder.clearAdaptiveData() | |
| } | |
| InputStream in = getClass() | |
| .getClassLoader() | |
| .getResourceAsStream( | |
| "opennlp/tools/namefind/AnnotatedSentences.txt"); | |
| String encoding = "ISO-8859-1"; | |
| ObjectStream<NameSample> sampleStream = new NameSampleDataStream( | |
| new PlainTextByLineStream(new InputStreamReader(in, | |
| encoding))); | |
| TokenNameFinderModel nameFinderModel = NameFinderME.train("en", | |
| "default", sampleStream, Collections | |
| .<String, Object> emptyMap(), 70, 1); | |
| TokenNameFinder nameFinder = new NameFinderME(nameFinderModel); | |
| // now test if it can detect the sample sentences | |
| String sentence[] = { "Alisa", "appreciated", "the", "hint", | |
| "and", "enjoyed", "a", "delicious", "traditional", | |
| "meal." }; | |
| Span names[] = nameFinder.find(sentence); | |